Job Description
📋 Description Design and Implement Algorithms: Build new algorithm components within our production delivery Extract Data-Driven Insights: Analyze complex logistics data to identify network inefficiencies Integrate OR and ML: Combine state-of-the-art optimization and machine learning techniques to Lead Cross-Functionally: Collaborate with software engineers, data scientists, hardware teams, and Exercise Strategic Autonomy: Evaluate technical options, make informed architectural decisions, and Mentorship: Elevate the technical rigor of the team by guiding junior scientists and engineers in 🎯 Requirements 12+ years of industry or post-graduate experience solving complex optimization problems using Ph.D. or Master's degree in Operations Research, Industrial Engineering, Computer Science, Applied Strong coding ability in Python, C++, or Java. You must understand object-oriented programming A proven track record of designing algorithms that operate efficiently in real-time production Previous experience in aviation, autonomous vehicles, ride-sharing, or last-mile logistics. Deep familiarity with other commercial or open-source optimization solvers (e.g., Gurobi, CPLEX 🎁 Benefits Hybrid work arrangement based in Palo Alto, CA. Competitive compensation with bonus and equity components. Career growth through mentorship and cross-functional collaboration. Medical, dental, and other standard benefits.
